The system is now fully operational. There should be no more degraded performance.
Summary
We observed a period of slowness and intermittent timeouts affecting various system functions in the EU region, including the application interface and pull request (PR) scans. The issue was primarily caused by a processing system reaching its network and memory capacity limits, exacerbated by a high volume of automated activity from a single source. We have since upgraded the underlying infrastructure and implemented safeguards to prevent similar high-volume activity from impacting the system. The issue is now fully resolved, and all services have returned to expected performance levels.
Key Timeline (IDT)
July 13, 2026, 11:44 IDT: Incident detected following reports of UI slowness and PR scan delays.
July 13, 2026, 12:19 IDT: Infrastructure bottleneck identified; decision made to upgrade the processing cluster.
July 13, 2026, 12:26 IDT: A high-volume automated process was identified and disabled to reduce immediate load.
July 13, 2026, 13:09 IDT: Infrastructure upgrade completed; network throughput returned to normal levels.
July 13, 2026, 15:35 IDT: All backlogs cleared, and the incident was officially resolved.
Root Cause
The incident was triggered by a combination of factors: a processing cluster reached its maximum network bandwidth and memory capacity due to an undersized configuration for the current workload. This was further strained by a specific automated workflow that generated an unusually high volume of update requests. Additionally, a configuration difference in the message processing pipeline in the EU region prevented the system from effectively handling the resulting backlog.
Actions Taken
Upgraded Infrastructure: The processing cluster was upgraded to a higher-capacity instance type to provide more network bandwidth and memory.
Disabled High-Volume Source: A specific client identifier responsible for excessive traffic was temporarily disabled to restore system stability.
Restored Connectivity: Affected service components were restarted to ensure they re-established clean connections to the upgraded infrastructure.
Increased Processing Parallelism: The number of partitions in the affected message queue was increased to allow the system to process the backlog more quickly.
Action Items
Enhance Monitoring: Implement new alerts for network and memory utilization to detect capacity issues before they impact customers.
Optimize Update Workflow: Refactor the status update process to batch requests, significantly reducing the load on the processing system.
Implement Rate Limiting: Introduce safeguards to prevent any single source from consuming disproportionate system resources.
Standardize Regional Configurations: Conduct an audit to ensure infrastructure and message queue settings are consistent across all regions.
Resolved
The system is now fully operational. There should be no more degraded performance.
Summary
We observed a period of slowness and intermittent timeouts affecting various system functions in the EU region, including the application interface and pull request (PR) scans. The issue was primarily caused by a processing system reaching its network and memory capacity limits, exacerbated by a high volume of automated activity from a single source. We have since upgraded the underlying infrastructure and implemented safeguards to prevent similar high-volume activity from impacting the system. The issue is now fully resolved, and all services have returned to expected performance levels.
Key Timeline (IDT)
July 13, 2026, 11:44 IDT: Incident detected following reports of UI slowness and PR scan delays.
July 13, 2026, 12:19 IDT: Infrastructure bottleneck identified; decision made to upgrade the processing cluster.
July 13, 2026, 12:26 IDT: A high-volume automated process was identified and disabled to reduce immediate load.
July 13, 2026, 13:09 IDT: Infrastructure upgrade completed; network throughput returned to normal levels.
July 13, 2026, 15:35 IDT: All backlogs cleared, and the incident was officially resolved.
Root Cause
The incident was triggered by a combination of factors: a processing cluster reached its maximum network bandwidth and memory capacity due to an undersized configuration for the current workload. This was further strained by a specific automated workflow that generated an unusually high volume of update requests. Additionally, a configuration difference in the message processing pipeline in the EU region prevented the system from effectively handling the resulting backlog.
Actions Taken
Upgraded Infrastructure: The processing cluster was upgraded to a higher-capacity instance type to provide more network bandwidth and memory.
Disabled High-Volume Source: A specific client identifier responsible for excessive traffic was temporarily disabled to restore system stability.
Restored Connectivity: Affected service components were restarted to ensure they re-established clean connections to the upgraded infrastructure.
Increased Processing Parallelism: The number of partitions in the affected message queue was increased to allow the system to process the backlog more quickly.
Action Items
Enhance Monitoring: Implement new alerts for network and memory utilization to detect capacity issues before they impact customers.
Optimize Update Workflow: Refactor the status update process to batch requests, significantly reducing the load on the processing system.
Implement Rate Limiting: Introduce safeguards to prevent any single source from consuming disproportionate system resources.
Standardize Regional Configurations: Conduct an audit to ensure infrastructure and message queue settings are consistent across all regions.
Monitoring
The region has recovered and is operating normally. We are closely monitoring system performance to ensure continued stability
Identified
We are observing elevated Redis timeout rates. We are scaling Redis cluster capacity to mitigate the impact and restore stable service performance
Investigating
We have noticed degraded performance in multiple components of the application UI. Scans, as well as Pull Request and CLI scans may also be affected.
Investigating
We have noticed degraded performance in multiple system components. We are identifying all affected components and identifying the root cause.